Dr Julia Grace Patterson💙

Dr Julia Grace Patterson💙

@JujuliaGrace

Founder+Chief Exec @EveryDoctorUK. Campaigner, author, doctor (but not working clinically). All views my own. My newsletter:https://jujuliagrace.substack.com/

London, England https://everydoctor.org.uk/ Joined 2020-10-10 Date of Analysis: Dec 16, 2025

277,669

Followers

60,276

Following

24,942

Tweets

691.4

Avg Engagement

574

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @JujuliaGrace's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.

Account Classification

  • Account Size: Macro Influencer (100K+)
  • Account Age:2020-10-10
  • Verification:No
  • Location:London, England

Data Summary

  • Tweets Analyzed:3,211
  • Avg Likes per Tweet:356.4
  • Avg Retweets per Tweet:335.0
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,211 tweets

Her tweets typically receive high engagement, with an average of 16,122 likes and 8,045 retweets. This indicates a strong and active community responding to her content.

356.4

Avg Likes/Tweet

335.0

Avg Retweets/Tweet

1,144,432

Total Likes

1,075,791

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

19

Median Likes

18

Median Retweets

463

75th Percentile

59,473

Top Tweet

2.49

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

27.3%

Original

51.5%

Replies

14.1%

Retweets

7.1%

Quotes

0.0%

Threads

0.4%

With Media

23.6%

With Links

4.9%

With #Tags

46.8%

With @Mentions

46.9%

With Emojis

131

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.88

Reply/Original Ratio

0.5

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

78.3%

Weekday Posts

21.7%

Weekend Posts

Top Hashtags

#revivethenhs (75) #nhscrisis (15) #juniordoctorsstrike (14) #humanitariancrisis (12) #nhs (10) #juniordoctorsstrikes (3) #sosnhsdemo (2) #solidarity (2) #booktwitter (2) #reshuffle (2)

Most Mentioned

@everydoctoruk (304) @jujuliagrace (115) @echelonroasters (41) @everydoctor (31) @skynews (27) @andrewmeyerson (17) @implausibleblog (16) @opendemocracy (15) @robertfillies1 (15) @megs1970 (15)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,211 tweets

Content Type Distribution

Content Breakdown

Original Tweets 878 (27%)
Replies 1,653 (51%)
Retweets 453 (14%)
Quote Tweets 227 (7%)

What This Reveals About Their Strategy

This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.

The 453 retweets (14% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.

Posting Patterns & Optimal Timing

Based on 3,211 tweets

Engagement by Hour (UTC)

Posting Frequency Over Time

Timing Insights

Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.

Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.

Audience Demographics

Based on 50,000 followers

Her audience includes individuals interested in healthcare policy, politics, and social commentary. Many followers are likely UK residents or those with an interest in public services.

Good

Audience Quality

16.9%

Suspicion Index

25.1%

Low-Quality %

64

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

42.7%

Empty Bio

12.6%

<10 Tweets

9.8%

Mass Following (>2K)

0.0%

New (<90 days)

32.1%

Low Ratio (<0.1)

0.0%

New (<180 days)

88.0%

No URL

7.5%

<3 Tweets

Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.

Try Bot Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

46,703,186

Total Potential Reach

64

Median Follower Reach

255

75th Percentile Reach

8.8%

>1K followers

0.8%

>10K followers

0.1%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

70.4%

Creators

35,194 accounts

17.1%

Consumers

8,526 accounts

12.6%

Dormant

6,280 accounts

262

Verified Followers

0.52% of total

9.2%

Professional Bios

founder, dev, analyst, etc.

0.18

Median Follow Ratio

follower/following

Follower Influence Distribution

How many followers do their followers have?

Follower Account Age

How long have followers been on Twitter?

Geographic Distribution

Top locations where followers are based (from those who share location data):

London, England (1,136) London (1,034) United Kingdom (827) England, United Kingdom (714) UK (649) Scotland, United Kingdom (344) Glasgow, Scotland (285) Manchester, England (267) Scotland (245) Liverpool, England (241)

475

Verified Followers

0.47% of total

8,267

Protected Accounts

8.27% of total

8 years

Avg Account Age

of their followers

Notable Followers (By Influence)

Top accounts following this user, sorted by their follower count:

Username Followers Profession Interests
@JohnCena 14,102,011 Wrestler Wrestling, Motivation, Self-promotion
@SinghLions 1,334,518 Restaurateur Food, Travel, Influencer
@RealMattLucas 1,258,485 Actor Comedy, Acting, Television
@campbellclaret 1,008,985 Writer Writing, Communication, Mental Health
@carolvorders 751,745 TV Host TV, Entrepreneur, Adventure
@CAA_Official 742,013 Musician Industrial, Goth, ElectroPunk
@WipeHomophobia 696,983 - -
@BruceVH 587,916 Life Coach Podcast, Speaker, Optimist
@IamMzilikazi 546,807 Musician Pan-African music, Album, Rise
@OccupyDemocrats 539,677 Political Activist Progressive, Grassroots, Politics

Top Keywords in Follower Bios

views (4,435) love (3,795) life (2,475) music (2,288) lover (2,277) mum (1,905) proud (1,899) retired (1,764) nhs (1,657) health (1,589)

Top Hashtags in Follower Bios

#fbpe (694) #gtto (635) #toriesout (164) #blm (163) #nhs (149) #rejoineu (137) #enoughisenough (113) #ynwa (107) #generalelectionnow (101) #lfc (99)

60,854

Followers With Bio

39,146

Followers Without Bio

60.85%

% With Bio

39.15%

% Without Bio

Why Audience Demographics Matter

Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.

Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,211 analyzed

177,871

Combined Engagement

71,129

Total Likes

106,742

Total Retweets

35,574

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

40%

With @Mentions

20%

With Links

Topical Analysis:

Healthcare Politics Social Commentary National Identity Public Services

Key Insights & Takeaways

She often highlights the role of taxation in funding public services like the NHS. She draws comparisons between UK immigration policies and US border policies. She expresses strong criticism of the UK government and national pride in being British.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 277,669
  • + High community engagement through conversations
  • + Active presence with consistent posting

Opportunities

  • ~ Optimize posting times for peak engagement windows
  • ~ Analyze top-performing content for replicable patterns
  • ~ Leverage geographic concentration for targeted content
  • ~ Explore collaboration potential with followed accounts

Summary

This analysis of @JujuliaGrace reveals an well-established Twitter presence with 277,669 followers. The account demonstrates a conversation-first approach, averaging 691.4 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025